If you’re not a data scientist, why should machine learning matter to you?

Let me answer your question with another question – is there such a thing as too much insight?

Not when it comes to SEO. If you want to know how to help people find your content, you need SEO. For good SEO, you need heaps of data.

Machine learning helps you easily get that data.

Moz Senior SEO Scientist Britney Muller spoke to Content Jam conference attendees about how machine learning can shorten the path between data and insights and strengthen your SEO efforts and increase your visibility online.

What does machine learning mean for SEO?

  • Analytics help: You can uncover the one keyword topic with the highest ROI potential.
  • Strategy help: Machine learning can see demand shifts and tell you how to pivot your strategy accordingly.
  • Process help: Add deep insights into your current process to strengthen its effectiveness.
  • Customer understanding: Tap into emotions and behaviors of your customers to deliver a better content experience.

Britney spoke at length about the power of machine learning through the use of several helpful tech tools (and she really knows her stuff, so you can bet these tools are good ones).

9 machine learning tools to level up your SEO efforts

“If Machine Learning was a car, data would be the fuel” – Britney Muller

Every day there is new data that can help you create better content for your customers. Here are 9 machine learning tools that can help you easily find it and use it well.

  1. Frase
  2. MonkeyLearn
  3. Lumen5
  4. Talk to Transformer
  5. Google Vision API
  6. Natural Language API
  7. Amazon Transcribe
  8. Kaggle
  9. Algorithmia

1. Frase

Do you want to spend more time writing content people want, and less time researching it?

Frase helps you do that.

Frase is the first Answer Engine Platform that uses deep data learning to find answers in long-form, unstructured content in 10 seconds or less.

Frase lets you find the info that customers are looking for to help you deliver a smooth content experience. The user intent data that comes from Frase’s answer engine inspires new content creation and on-going optimization.

Frase can help you:

  • Deliver fast, direct answers to customer questions
    Create a personalized, frictionless product research experience
    Create quality content that gives quality answers

Customers want quick, quality answers to their questions so they can make informed buying decisions. Frase helps you get your company website “question-ready” with good, user-driven content.

If you don’t answer your customer’s questions, your competitor will.

2. MonkeyLearn

MonkeyLearn is a text-analysis tool that helps you analyze incoming text and make predictions. It can be used across Customer Service, Sales, and Marketing. It can be used to analyze things like:

  • Emotion
  • Urgency
  • Sentiment
  • Topics
  • Keywords

MonkeyLearn’s text analysis creates tags to help your business respond to clients more quickly, learn about issues before they spiral, and prioritize your team’s time to work on higher-impact tasks.

MonkeyLearn operates in 3 simple steps:

  1. Connect your text data
  2. Turn your text into tags
  3. Use your tags to make new info about your business

For example, if you work in customer service and receive a customer complaint, you can analyze the text of that complaint and tag it with things like “Order Issue,” or “Urgent.”

3. Lumen5

Lumen5 is the fastest video maker for social video marketing. It automates image understanding and recommends media to help you make great design decisions, and suggest ideas for your next video.

An intuitive drag-and-drop editor lets even a video novice learn how to make the best video for your purposes.

You can:

  • Transform text articles into videos
  • Search a library with free media to help create videos
  • Add customized branding to videos
  • Optimize videos to improve conversions

4. Talk to Transformer

Talk to Transformer is a website that uses a very advanced neural network to complete text based on a snippet that you type in.

How does this help? It can give you ideas for content to create based on what people look for.

For example, if you type in, “I want to buy a new computer,” it automates copy like this:

“I want to buy a new computer. Can I buy one through eBay?”

“Auctions are a great way to find used computers if you’ve never done it before.”

“Here are 10 tips.

1) Buying An New Computer Online Is ESSENTIAL

If you want to buy a used computer online, it’s highly recommended to put a list of keywords into the eBay search engine to find what you’re looking for online.

You can find what’s good for eBay from a few different places, but I recommend using ebay.com to find used computers online.”

From here you can research keyphrases to help optimize your content. In this case, it could be, “how to buy a computer online.”

Similarly, there is another app called Write with Transformers that auto-completes your thoughts.

5. Google Vision API

Google Vision API helps you get insights from your images by detecting emotion and understanding text. You can assign labels to images and quickly classify them into millions of predefined categories.

To build valuable metadata from your image, Google Vision API detects:

  • Objects
  • Faces
  • Read printed and handwritten text

Do you have an image with smiling people? The API can detect joy.

6. Google Cloud Natural Language API

Google Cloud Natural Language API uses machine learning to reveal the structure and meaning of text.

It can tell you information about:

    • People
    • Places
    • Events
    • Social media sentiment
  • Customer conversations

Google Natural Language lets you analyze text and also integrate it with your document storage on Google Cloud Storage.

7. Amazon Transcribe

Amazon Transcribe is an automatic speech recognition (ASR) service that lets developers easily add speech-to-text capability to their applications. The Amazon Transcribe API, lets you analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech.

Amazon Transcribe can be used for:

  • The transcription of customer service calls
  • Creating subtitles on audio and video content

The service can transcribe audio files and include timestamps for every word so that you can easily locate the audio in the original source by searching for the text.

The key features of Amazon Transcribe are:

  • Easy-to-read transcriptions
  • Timestamp generation
  • Supports a wide range of use cases
  • Custom vocabulary use
  • Recognize multiple speakers
  • Channel identification
  • Real-time, streaming transcription

8. Kaggle

Kaggle is a platform for predictive modeling and analytics competitions where people can post data and statisticians and data miners compete to produce the best models for predicting and describing the data.

  1. Competitions: Compete to provide the best solution to a problem.
  2. Datasets: Analyze all the open data you want! Find any interesting dataset and apply analytical methods to fine-tune your analytical skills.
  3. Kernels: Lets users share and learn from different methods.

The key difference between Kaggle and other competition tools is that the competitions are specifically related to machine learning, data science, and AI.

Kaggle is really helpful to learn trends and techniques in machine learning or data science. Whether you’re a seasoned data scientist or a complete novice, Kaggle boosts your machine learning knowledge.

9. Algorithmia

The Algorithmia platform lets organizations deploy machine learning models at scale with a Serverless AI Layer.

Algorithmia:

  • Catalogs and enables algorithm searches
  • Empowers users to operate in the language, framework, and cloud of choice
  • Automatically, elastically scales
  • Provides security
  • Enables deep learning
  • Provides a library of algorithms
  • Has best-in-class support